更新时间：2021-06-11 13:42:47
封面
版权页
Preface
About the Book
Chapter 1 Introduction to Natural Language Processing
Introduction
History of NLP
Text Analytics and NLP
Various Steps in NLP
Kick Starting an NLP Project
Summary
Chapter 2 Basic Feature Extraction Methods
Types of Data
Cleaning Text Data
Feature Extraction from Texts
Feature Engineering
Chapter 3 Developing a Text classifier
Machine Learning
Developing a Text Classifier
Building Pipelines for NLP Projects
Saving and Loading Models
Chapter 4 Collecting Text Data from the Web
Collecting Data by Scraping Web Pages
Requesting Content from Web Pages
Dealing with Semi-Structured Data
Chapter 5 Topic Modeling
Topic Discovery
Topic Modeling Algorithms
Chapter 6 Text Summarization and Text Generation
What is Automated Text Summarization?
High-Level View of Text Summarization
TextRank
Summarizing Text Using Gensim
Summarizing Text Using Word Frequency
Generating Text with Markov Chains
Chapter 7 Vector Representation
Vector Definition
Why Vector Representations?
Chapter 8 Sentiment Analysis
Why is Sentiment Analysis Required?
Growth of Sentiment Analysis
Tools Used for Sentiment Analysis
TextBlob
Understanding Data for Sentiment Analysis
Training Sentiment Models
Appendix
Chapter 1: Introduction to Natural Language Processing
Chapter 2: Basic Feature Extraction Methods
Chapter 3: Developing a Text classifier
Chapter 4: Collecting Text Data from the Web
Chapter 5: Topic Modeling
Chapter 6: Text Summarization and Text Generation
Chapter 7: Vector Representation
Chapter 8: Sentiment Analysis
